How to make animations of molecular biology processes by
Ciro Santilli 35 Updated 2025-02-11 +Created 1970-01-01
Drew Berry recommends having a look at clarafi.
Official support is abysmal, very focused on MicroPython and their graphical UI.
The setup impossible to achieve as it requires setting up the Yotta, just like the impossible to setup Compile MicroPython code for Micro Bit locally on Ubuntu 22.04 with your own firmware setup.
So we just use github.com/lancaster-university/microbit-samples + github.com/carlosperate/docker-microbit-toolchain:.hex file size for the hello world was 447 kB, much better than the MicroPython hello world downloaded from the website which was about 1.8 MB!
docker pull ghcr.io/carlosperate/microbit-toolchain:latest
git clone https://github.com/lancaster-university/microbit-samples
cd microbit-samples
git checkout 285f9acfb54fce2381339164b6fe5c1a7ebd39d5
# Select a sample, builds one at a time. The default one is the hello world.
cp source/examples/hello-world/* source
# Build and flash.
docker run -v $(pwd):/home --rm ghcr.io/carlosperate/microbit-toolchain:latest yotta build
cp build/bbc-microbit-classic-gcc/source/microbit-samples-combined.hex "/media/$USER/MICROBIT/"
If you try it again for a second time from a clean tree, it fails with:presumably because after Yotta died it started using GitHub as a registry... sad. When will people learn. Apparently we were at 5000 API calls per hour. But if you don't clean the tree, you will be just fine.
warning: github rate limit for anonymous requests exceeded: you must log in
Association with innovative schools by
Ciro Santilli 35 Updated 2025-02-11 +Created 1970-01-01
Maybe we should talk to innovative schools, as they might be more open to such use of technology.
Good packaging! Tested on Ubuntu 22.10:This throws a billion exceptions because we didn't start the visdom server, but never mind that.
git clone https://github.com/activatedgeek/LeNet-5
cd LeNet-5
git checkout 95b55a838f9d90536fd3b303cede12cf8b5da47f
virtualenv -p python3 .venv
. .venv/bin/activate
# Their requirements.txt uses >= and some == are incompatible with our Ubuntu.
pip install
Pillow==6.2.0 \
numpy==1.24.2 \
onnx==1.13.1 \
torch==2.0.0 \
torchvision==0.15.1 \
visdom==0.2.4 \
;
time python run.py
The scrip does a fixed 15 epochs.
Output on P51:
real 2m10.262s
user 11m9.771s
sys 0m26.368s
The run also produces a
lenet.onnx
ONNX file, which is pretty neat, and allows us for example to visualize it on Netron:2021-04 clogged
Pinned article: ourbigbook/introduction-to-the-ourbigbook-project
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